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Knowledge-based Visual Question Answering:A Survey [PDF]
Jisuanji kexue, 2023 As an important presentation form of the completeness of artificial intelligence and the visual Turing test,visual question answering(VQA),coupled with its potential application value,has received extensive attention from computer vision and na-tural ...
WANG Ruiping, WU Shihong, ZHANG Meihang, WANG Xiaoping
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Generative Visual Question Answering
CoRR, 2023 Multi-modal tasks involving vision and language in deep learning continue to rise in popularity and are leading to the development of newer models that can generalize beyond the extent of their training data. The current models lack temporal generalization which enables models to adapt to changes in future data.
Ethan Shen, Scotty Singh, Bhavesh Kumar
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Question-Agnostic Attention for Visual Question Answering [PDF]
2020 25th International Conference on Pattern Recognition (ICPR), 2021 Visual Question Answering (VQA) models employ attention mechanisms to discover image locations that are most relevant for answering a specific question. For this purpose, several multimodal fusion strategies have been proposed, ranging from relatively simple operations (e.g., linear sum) to more complex ones (e.g., Block).
Moshiur R. Farazi +2 more
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Pathological Visual Question Answering [PDF]
, 2020 We develop datasets and methods to perform visual question answering on pathology images.
Xuehai He +6 more
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Survey of Multimodal Medical Question Answering
BioMedInformatics, 2023 Multimodal medical question answering (MMQA) is a vital area bridging healthcare and Artificial Intelligence (AI). This survey methodically examines the MMQA research published in recent years.
Hilmi Demirhan, Wlodek Zadrozny
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K-VQA: A visual question answering method
Journal of Hebei University of Science and Technology, 2020 The types of questions answered by the visual question answering of images and texts are roughly divided into two types. The first type is the questions that can get the answers directly from the images, and the second type is the questions that need the
Hongbin GAO, Jinying MAO, Huiyong WANG
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Visual Question Answering: A Tutorial [PDF]
IEEE Signal Processing Magazine, 2017 The task of visual question answering (VQA) is receiving increasing interest from researchers in both the computer vision and natural language processing fields. Tremendous advances have been seen in the field of computer vision due to the success of deep learning, in particular on low- and midlevel tasks, such as image segmentation or object ...
Damien Teney +2 more
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Robust Explanations for Visual Question Answering [PDF]
2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 2020 WACV-2020 (Accepted)
Badri N. Patro +2 more
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Visual Question Answering Method Based on Counterfactual Thinking [PDF]
Jisuanji kexue, 2022 Visual question answering(VQA) is a multi-modal task that combines computer vision and natural language proces-sing,which is extremely challenging.However,the current VQA model is often misled by the apparent correlation in the data,and the output of the
YUAN De-sen, LIU Xiu-jing, WU Qing-bo, LI Hong-liang, MENG Fan-man, NGAN King-ngi, XU Lin-feng
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An investigation of question translation for English-Chinese cross-language question answering [PDF]
, 2007 Question-answering (QA) is a next-generation search technology which aims to provide answers to a user’s question from a collection of documents. Cross-Language QA (CLQA) extends this paradigm to answering questions from a collection in a different ...
Bin Wang +11 more
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